In order to accelerate the learning speed of the conventional CMAC, an Improved Credit Assigned CMAC (ICA-CMAC) is presented in this paper. And then the proposed ICA-CMAC is applied to approaching two objective functions. Simulation results show that the ICA-CMAC has faster learning speed. In addition, the paper discussed different performances of ICA-CMAC influenced by different learning rates. It was found that the ICA-CMAC with a learning rate less than 1 has a better learning performance, which might be useful in selecting an appropriate learning rate.
In order to improve the accuracy and efficiency of gas flow meter calibration, the auto gas meter calibration system using the negative pressure method based on automatic sonic nozzle was developed. Firstly the calibration principle of the sonic nozzle was analyzed, which is the base of the calibration. Then the overall system design and performance were given and the key issues and its solutions were discussed. Finally, the experimental data were acquired and analyzed. The calibration system which has been put into use in meter factory was proved to be automatic, high ability of anti-interference, exact, efficient and reliable during the applications.
Abstract. In order to solve the difficulty in complicated system control, a new direct inverse model control strategy is proposed based on a new improved CMAC (Cerebellar Model Articulation Controller) neural network to control a kind of nonlinear system with strong hysteresis i.e. continuous-stirred tank reactor (CSTR). The idea of credit is introduced to help design a new Improved Credit Assigned CMAC (ICA-CMAC) with fast learning speed, which is helpful in real time control of CSTR. Simulation results show that the ICA-CMAC based method performs faster than conventional CMAC, and is strong in self-learning and helpful for improving the nonlinear control performance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.